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voxelnext_ioubranch_large.yaml
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voxelnext_ioubranch_large.yaml
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CLASS_NAMES: ['Vehicle', 'Pedestrian', 'Cyclist']
DATA_CONFIG:
_BASE_CONFIG_: cfgs/dataset_configs/waymo_dataset.yaml
MODEL:
NAME: VoxelNeXt
VFE:
NAME: MeanVFE
BACKBONE_3D:
NAME: VoxelResBackBone8xVoxelNeXt
SPCONV_KERNEL_SIZES: [5, 5, 3, 3]
OUT_CHANNEL: 256
CHANNELS: [32, 64, 128, 256, 256]
DENSE_HEAD:
NAME: VoxelNeXtHead
IOU_BRANCH: True
CLASS_AGNOSTIC: False
INPUT_FEATURES: 256
CLASS_NAMES_EACH_HEAD: [
['Vehicle', 'Pedestrian', 'Cyclist']
]
SHARED_CONV_CHANNEL: 256
USE_BIAS_BEFORE_NORM: True
NUM_HM_CONV: 2
SEPARATE_HEAD_CFG:
HEAD_ORDER: ['center', 'center_z', 'dim', 'rot']
HEAD_DICT: {
'center': {'out_channels': 2, 'num_conv': 2},
'center_z': {'out_channels': 1, 'num_conv': 2},
'dim': {'out_channels': 3, 'num_conv': 2},
'rot': {'out_channels': 2, 'num_conv': 2},
'iou': {'out_channels': 1, 'num_conv': 2},
}
RECTIFIER: [0.68, 0.71, 0.65]
TARGET_ASSIGNER_CONFIG:
FEATURE_MAP_STRIDE: 8
NUM_MAX_OBJS: 500
GAUSSIAN_OVERLAP: 0.1
MIN_RADIUS: 2
LOSS_CONFIG:
LOSS_WEIGHTS: {
'cls_weight': 1.0,
'loc_weight': 2.0,
'code_weights': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
}
POST_PROCESSING:
SCORE_THRESH: 0.1
POST_CENTER_LIMIT_RANGE: [-75.2, -75.2, -2, 75.2, 75.2, 4]
MAX_OBJ_PER_SAMPLE: 500
NMS_CONFIG:
NMS_TYPE: nms_gpu
NMS_THRESH: [0.8, 0.55, 0.55] #0.7
NMS_PRE_MAXSIZE: [2048, 1024, 1024] #[4096]
NMS_POST_MAXSIZE: [200, 150, 150] #500
POST_PROCESSING:
RECALL_THRESH_LIST: [0.3, 0.5, 0.7]
EVAL_METRIC: waymo
OPTIMIZATION:
BATCH_SIZE_PER_GPU: 4
NUM_EPOCHS: 12
OPTIMIZER: adam_onecycle
LR: 0.003
WEIGHT_DECAY: 0.01
MOMENTUM: 0.9
MOMS: [0.95, 0.85]
PCT_START: 0.4
DIV_FACTOR: 10
DECAY_STEP_LIST: [35, 45]
LR_DECAY: 0.1
LR_CLIP: 0.0000001
LR_WARMUP: False
WARMUP_EPOCH: 1
GRAD_NORM_CLIP: 10